spacejamr: Simulate Spatial Bernoulli Networks
Social network analysis is becoming commonplace in many social
science disciplines, but access to useful network data, especially
among marginalized populations, still remains a formidable challenge.
This package mitigates that problem by providing tools to simulate spatial
Bernoulli networks as proposed in Carter T. Butts
(2002, ISBN:978-0-493-72676-2), "Spatial models of large-scale interpersonal
networks." Using this package, network analysts can simulate a spatial point
process or sequence with a given number of nodes inside a geographical
boundary and estimate the probability of a tie formation between all node
pairs. When simulating a network, an analyst can choose between five spatial
interaction functions. The package also enables quick comparison of summary
statistics for simulated networks and provides simple to use plotting
methods for its classes that return plots which can be further refined with
the 'ggplot2' package.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
crsuggest, dplyr, ggraph, ggplot2, igraph, magrittr, sf, spatstat.random, spatstat.geom, ggthemes |
| Suggests: |
covr, testthat (≥ 3.0.0) |
| Published: |
2022-04-01 |
| DOI: |
10.32614/CRAN.package.spacejamr |
| Author: |
Darren Colby 
[aut, cre] |
| Maintainer: |
Darren Colby <dscolby17 at gmail.com> |
| BugReports: |
https://github.com/dscolby/spacejamr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/dscolby/spacejamr |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
spacejamr results |
Documentation:
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